count unique pandas

1#TO count repetition of each unique values(to find How many times the same-
2# unique value is appearing in the data)
3
4item_counts = df["Your_Column"].value_counts()
5#Returns Dictionary => {"Value_name" : number_of_appearences} 

1df['column'].nunique()

1df.nunique()

1df['hID'].nunique()
25

11
2# get the unique values (rows) by retaining last row
32
4df.drop_duplicates(keep='last')
5

1df = pd.DataFrame(np.random.randint(0,2,size = (10,3)))
2df
3	0	1	2
40	1	1	1
51	1	0	1
62	1	1	1
73	1	0	0
84	1	1	1
95	1	0	1
106	0	0	1
117	0	1	1
128	0	1	0
139	0	0	1
14# the only unique rows are : 3, 7 and 8
15df.duplicated(keep = False) == False
160    False
171    False
182    False
193     True
204    False
215    False
226    False
237     True
248     True
259    False
26dtype: bool
27# so to count how many unique rows we have: 
28sum(df.duplicated(keep = False) = False)
293